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I will build advanced machine learning solutions with mlops
Engineering Your Business Edge With Custom AI Agents And ML Solutions
I am an ML/AI Engineer & MBA specializing in the convergence of technical engineering and business transformation. I don't just write code; I build production-ready AI systems designed to give your bu...
About this Gig
Stop building AI experiments. Start driving business growth.
I am a Machine Learning Engineer & MBA specializing in the strategic convergence of technical engineering and business transformation. I dont just write code; I build production-ready AI systems designed for a measurable competitive edge.
From Deep Learning to automated MLOps, I help MSMEs and global brands move from "manual" to "agentic" using Python AI.
What I Do: I handle the full ML lifecycle. Whether you need predictive analytics, sales forecasting, or custom NLP, I build systems that integrate into your tech stack.
How I Do It:
- EDA: Cleaning and uncovering hidden patterns in your data.
- Model Engineering: Using Scikit-Learn, TensorFlow, or PyTorch.
- Optimization: Fine-tuning settings for peak Data Science performance.
- Deployment: Using Docker and FastAPI for production-ready reliability.
Packages:
- Starter: Data Audit, EDA, and 1 Baseline Model.
- Pro: Advanced ML Model, Feature Engineering, and Optimization.
- Premium: Full MLOps, Deep Learning, API, and Docker Deployment.
Proof: github.com/TolulopeOyejide
Message me to automate your growth!
My Portfolio
FAQ
What is required to start my Python AI project?
I need your business objective and access to your dataset (CSV, SQL, or API). If your data science foundation is unclear, we start with a data audit to ensure your machine learning goals are achievable and ROI-driven.
Can you work with my specific tech stack (AWS, Google Cloud, Azure)?
Yes. I build systems using Docker and FastAPI, which means the solution is containerized and platform-agnostic. Whether you use AWS, GCP, or on-premise servers, the deployment will be seamless and scalable.
How do you ensure the AI model doesn't just "guess"?
This is where my MBA and Engineering background converge. I don't just look at accuracy scores; I perform rigorous validation and establish a Baseline Model first. This ensures the final solution provides a statistically significant improvement over simple logic or manual processes.
Can you explain your Data Science validation process?
I don’t just build models; I validate them. I establish a baseline, perform hyperparameter tuning, and use cross-validation. This ensures your machine learning solution is reliable and ready for real-world production.
Will I receive the source code for the ML solution?
Absolutely. You receive the full python ai source code, trained model files, and technical documentation. I build customized data science assets that you own entirely.
